Results 141 to 150 of about 1,338,681 (301)

Lead-lag and Volatility Point Change Estimations for Cryptocurrencies

Journal of Banking and Financial Economics
This study investigates the lead-lag relationships and volatility dynamics among four major cryptocurrencies – Bitcoin, Ethereum, Solana, and Polygon – during the turbulent year of 2022.
Jenipher Mutale, Ehounou Serge Eloge Florentin Angaman, Jules Clement Mba   +2 more
doaj   +1 more source

Estimation of Multinomial Logit Models with Unobserved Heterogeneity Using Maximum Simulated Likelihood [PDF]

In this paper we suggest a Stata routine for multinomial logit models with unobserved heterogeneity using maximum simulated likelihood based on Halton sequences.
Peter Haan, Arne Uhlendorff
core  

Breaking the Surface: Buoyant Metal–Polymer Open–Cell Hybrid Lattice Metamaterials

Advanced Materials, EarlyView.
Open‐cell metal–polymer lattice metamaterials that defy sinking. (a) Injection process of the polyurethane (PU) foam into the titanium (Ti‐6Al‐4V) hollow‐strut lattice creating the open‐cell Ti‐6Al‐4V+PU hybrid lattice, (b) flotation test of a hybrid lattice specimen, and (c) a digital representation and experimental validation of a marine buoy ...
Jordan Noronha, Joey Tallon, Raad Omar, Jason Dash, Andrey Molotnikov, Martin Leary, Milan Brandt, Ma Qian   +7 more
wiley   +1 more source

Nonparametric Quasi-Likelihood for Right Censored Data

, 2011
Quasi-likelihood was extended to right censored data to handle heteroscedasticity in the frame of the accelerated failure time (AFT) model. However, the assumption of known variance function in the quasi-likelihood for right censored data is usually ...
Yu, Lili, Lili Yu
core   +1 more source

Electrolyte Engineering Challenges and Opportunities for Next‐Generation Aqueous Ammonium‐Ion Batteries

Advanced Materials, EarlyView.
Aqueous ammonium‐ion batteries (AAIBs) face a hydrogen‐bond paradox: the HB network enables fast NH4+ transport but triggers water decomposition. This review dissects this dilemma, evaluates multiple electrolyte engineering strategies, and outlines four future directions for next‐generation AAIB design ABSTRACT Aqueous ammonium‐ion batteries (AAIBs ...
Zi‐Hang Huang, Xiaoyu Liu, Shuai Mao, Lingfeng Zhu, Zhijun Wu, Hongge Pan, Tianyi Ma   +6 more
wiley   +1 more source

Laplace approximation, penalized quasi-likelihood, and adaptive Gauss-Hermite quadrature for generalized linear mixed models: towards meta-analysis of binary outcome with sparse data. [PDF]

BMC Med Res Methodol, 2020
Ju K, Lin L, Chu H, Cheng LL, Xu C.
europepmc   +1 more source

Multi‐Stimuli Responsive Angstrom‐Scale Two‐Dimensional Channels of Natural Layered Materials

Advanced Materials, EarlyView.
Å‐scale ion channels naturally formed within the interlayers of vermiculite clay enable ionic current modulation in response to mechanical, chemical, and electrical stimuli. Coupled pressure and electric fields induce reversible streaming current (Istream) polarity inversion, which is explained by a modified surface charge regulation model.
Raj Kumar Gogoi, Arghyadeep Paul, Ankit Bhardwaj, Hiran Jyothilal, Narayana R. Aluru, Boya Radha   +5 more
wiley   +1 more source

Pseudo-likelihood and quasi-likelihood estimation for complex sampling schemes

, 1992
Pseudo-likelihood, quasi-likelihood, and weighted least squares procedures for fitting generalized linear models to data generated by complex sampling schemes are considered.
Skinner, C.J., Molina C., E.A.
core   +1 more source

Bifunctional Catalysis Drives Efficient and Ethanol‐Producing Aqueous Zn‐CO2 Batteries

Advanced Materials, EarlyView.
A unified bifunctional catalyst breaks the trade‐off between CO2 reduction and O2 evolution, delivering high efficiency, ethanol production, and long‐term stability in Zn‐CO2 batteries while revealing degradation pathways for next‐generation bifunctional electrocatalysts.
Divyani Gupta, Jinshuo Zou, Anoja Kawsihan, Jodie A. Yuwono, Zhaoliang Wu, Jun Yu, Yameng Fan, Sailin Liu, Jianfeng Mao, Zaiping Guo   +9 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source